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Training Partner:
Date
August 11, 2025
Program Duration
5 days
Language
English
Fees
45,356
In Class Training
California
About Program
The "Investing in AI" program is designed to provide participants with an unparalleled opportunity to gain deep insights into the evolution of artificial intelligence and its promising future. Distinguished by its partnership with the University of California, Berkeley, the program offers a hands-on training experience directly from the heart of global technology. The program aims to equip participants with an understanding of advanced AI technologies and explore sustainable investment opportunities in this rapidly evolving field. It also enables participants to build strategic connections with industry leaders and experts, enhancing their ability to leverage innovations for a competitive edge and implement transformative investment strategies.
Program Goals
Understanding the Evolution of AI
Explore the development of AI and anticipate its impact on various sectors to enhance understanding of future transformations.
Exploring Sustainable Investment Opportunities in AI
Analyze the potential of AI investments to identify growth opportunities and achieve long-term returns.
Enhancing Knowledge of Advanced Technologies and Their Practical Applications
Study the latest AI technologies and apply them in work environments to achieve strategic goals.
Developing Skills in Utilizing AI to Enhance Competitiveness
Learn how to integrate AI into organizational operations to improve performance and strengthen competitive advantage.
Building Strategic Networks with Industry Experts
Expand professional connections by engaging with industry leaders and experts to exchange ideas and benefit from their experiences.
Identifying Innovative Investment Strategies for Performance Enhancement
Explore new investment approaches that contribute to achieving exceptional financial results.
Mastering Data Analysis Tools for Data-Driven Decision Making
Develop the ability to use AI tools to analyze data and make investment decisions based on precise insights.
Join us for an unforgettable journey of exceptional learning
The curriculum is designed to provide participants with a comprehensive and in-depth understanding of the AI landscape and its practical applications in investment. It includes integrated modules covering AI evolution, infrastructure and applications, innovations in robotics, and the use of AI in investment strategies. The program focuses on enhancing strategic thinking skills, data-driven decision-making, and building strategic professional networks. The curriculum also features field visits and interactive sessions with global experts to apply the acquired knowledge to real-world cases, ensuring a comprehensive and impactful learning experience.
Program Structure
5 Days
Program Duration
6 Visits
Field visits
10 Modules
Number of Modules
4 Guests
Guest speakers
Program Agenda
In Class Training
AI Evolution and Mechanics: Explore how AI works and trace its historical development, providing a foundational understanding of its transformative capabilities.
Economic Impact of AI: Identify key players who have profited from AI by analyzing the AI stack, offering insights into economic opportunities within the AI sphere.
GPTs and World Transformation: Delve into Generative Pre-trained Transformers (GPTs) and examine their revolutionary impact on various industries and societal functions.
In Class Training
Infrastructure's Role in AI: Understand the critical importance of the infrastructure layer in supporting and optimizing AI functions and performance.
Foundation vs. Application Layers: Differentiate between foundational and application layers of AI to comprehensively grasp how these aspects integrate to unleash AI potential and drive innovation.
In Class Training
Evaluating Generative AI: Analyze the current state of generative AI technologies, assessing their capabilities, limitations, and potential to redefine industry landscapes.
Future Infrastructure Insights: Explore the anticipated advancements in AI infrastructure and their implications for enhancing AI performance and scalability.
Winning Foundation Models: Examine the competitive landscape of foundation models, assessing which are poised to dominate and how they shape future AI applications.
In Class Training
Strategic Applications and Data Utilization
In Class Training
AI
AI Investment for Established Companies: Delve into strategies for incumbents to invest in AI technologies, with insights from SAP, focusing on sustaining competitive advantage and optimizing technological integration.
In Class Training
Finance Sector AI Transformation: Gain perspectives from Silicon Valley Bank on real-world AI applications in the finance industry, exploring how AI is used for operational efficiency, risk management, and enhancing customer experiences.
In Class Training
AI Investment: Hype vs. Reality: Dissect the realities of AI investment with Piva Capital, distinguishing between exaggerated promises and tangible opportunities, to inform sound investment decisions.
Investing in Related AI Spaces: Explore emerging areas beyond core AI technologies with Hayden AI, identifying promising investment spaces that complement the AI ecosystem.
In Class Training
Tech and Culture for AI: Examine the interplay between technology and organizational culture with AWS, understanding how cultural adaptation can enable successful AI integration and foster innovation.
In Class Training
Implications for CIOs and CFOs: Investigate the strategic implications of AI on the roles of Chief Information Officers and Chief Financial Officers, preparing them to lead AI-driven transformations.
The Role of R
In Class Training
The AI Startup Ecosystem: Explore the dynamics of the AI startup landscape, identifying innovative ventures and their role in shaping the future of AI.
The Influence of Hyperscalers: Analyze the role of hyperscalers in the AI ecosystem, assessing their impact on technological development and market competition.
Financial Prospects in AI: Identify where the greatest financial returns can be achieved within the AI landscape, leveraging insights to make informed strategic investments.
Trainers
Venture into a whole new realm of knowledge
This stage contributes to clarifying the program requirements and facilitating communication between participants and the administration to ensure a fruitful learning experience. It also provides an opportunity to verify the required documents and organize logistical details to guarantee successful participation.
Admission Criteria
Practical experience
Five or more years of experience in a related field.
Language
Fluent English speaker.
Application Process: Your Journey Starts Here
The admissions team will carefully review all elements of your application. The selection process will take up to eight weeks from the date of submission of a completed application.
Step 1
Online application and video interview
Step 2
Pre-selection and decision
Step 3
Interview with acceptance
Step 4
Admission Committee
Step 5
Final decision
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